The effect of acute kidney injury on long-term health-related quality of life: a prospective follow-up study.

INTRODUCTION: Acute kidney injury (AKI) is a serious complication in critically ill patients admitted to the Intensive Care Unit (ICU). We hypothesized that ICU survivors with AKI would have a worse health-related quality of life (HRQOL) outcome than ICU survivors without AKI. METHODS: We performed a long-term prospective observational study. Patients admitted for > 48 hours in a medical-surgical ICU were included and divided in two groups: patients who fulfilled RIFLE criteria for AKI and patients without AKI. We used the Short-Form 36 to evaluate HRQOL before admission (by proxy within 48 hours after admission of the patient), at ICU discharge, hospital discharge, 3 and 6 months following ICU discharge (all by patients). Recovery in HRQOL from ICU-admission onwards was assessed using linear mixed modelling. RESULTS: Between September 2000 and January 2007 all admissions were screened for study participation. We included a total of 749 patients. At six months after ICU discharge 73 patients with AKI and 325 patients without AKI could be evaluated. In survivors with and without AKI, the pre-admission HRQOL (by proxy) and at six months after ICU discharge was significantly lower compared with an age matched general population. Most SF-36 dimensions changed significantly over time from ICU discharge. Change over time of HRQOL between the different AKI Rifle classes (Risk, Injury, Failure) showed no significant differences. At ICU discharge, scores were lowest in the group with AKI compared with the group without AKI for the physical functioning, role-physical and general health dimensions. However, there were almost no differences in HRQOL between both groups at six months. CONCLUSIONS: The pre-admission HRQOL (by proxy) of AKI survivors was significantly lower in two dimensions compared with the age matched general population. Six months after ICU discharge survivors with and without AKI showed an almost similar HRQOL. However, compared with the general population with a similar age, HRQOL was poorer in both groups.

The Academic Medical Center Linear Disability Score for evaluation of physical reserve on admission to the ICU: can we query the relatives?

INTRODUCTION: Evaluating the pre-morbid functional status in critically ill patients is important and frequently done using the physical component score (PCS) of the Short Form 36, although this approach has its limitations. The Academic Medical Center Linear Disability Score (ALDS) is a recently developed generic item bank used to measure the disability status of patients with a broad range of diseases. We aimed to study whether proxy scoring with the ALDS could be used to assess the patients' functional status on admission for cardiac care unit (CCU) or ICU patients and how the ALDS relates to the PCS using the Short Form 12 (SF-12). METHODS: Patients and proxies completed the ALDS and SF-12 score in the first 72 hours following ICU scheduled surgery (n = 14), ICU emergency admission (n = 56) and CCU emergency admission (n = 70). RESULTS: In all patients (n = 140) a significant intra-class correlation was found for the ALDS (0.857), the PCS (0.798) and the mental component score (0.679) between patients and their proxy. In both scheduled and emergency admissions, a significant correlation was found between patients and their proxy for the ALDS, although the lowest correlation was found for the ICU scheduled admissions (0.755) compared with the ICU emergency admissions (0.889). In CCU patients, the highest significant correlation between patients and proxies was found for the ALDS (0.855), for the PCS (0.807) and for the mental component score (0.740). CONCLUSIONS: Relatives in close contact with critically ill patients can adequately reflect the patient's level of disability on ICU and CCU admission when using the ALDS item bank, which performed at least as well as the PCS. The ALDS could therefore be a useful alternative for the PCS of the SF-12.

Accumulation of advanced glycation end (AGEs) products in intensive care patients: an observational, prospective study.

BACKGROUND: Oxidative stress plays an important role in the course and eventual outcome in a majority of patients admitted to the intensive care unit (ICU). Markers to estimate oxidative stress are not readily available in a clinical setting. AGEs accumulation has been merely described in chronic conditions, but can also occur acutely due to oxidative stress. Since AGEs have emerged to be stable end products, these can be a marker of oxidative stress. Skin autofluorescence (AF) is a validated marker of tissue content of AGEs. We hypothesized that AGEs accumulate acutely in ICU patients. METHODS: We performed an observational prospective study in a medical surgical ICU in a university affiliated teaching hospital. All consecutively admitted ICU patients in a 2 month period were included. Skin AF was measured using an AGE reader in 35 consecutive ICU patients > 18 yrs. As a comparison, historical data of a control group (n = 231) were used. These were also used to calculate age-adjusted AF-levels (AFadj). Values are expressed as median and interquartile range [P25-P75]. Differences between groups were tested by non parametric tests. P < 0.05 was considered statistically significant. RESULTS: AFadj values were higher in ICU patients (0.33 [0.00 - 0.68]) than in controls (-0.07 [-0.29 - 0.24]; P < 0.001). No differences in skin AFadj were observed between acute or planned admissions, or presence of sepsis, nor was skin AFadj related to severity of disease as estimated by APACHE-II score, length of ICU, hospital stay or mortality. CONCLUSION: Acute AGE accumulation in ICU patients was shown in this study, although group size was small. This can possibly reflect oxidative stress in ICU patients. Further studies should reveal whether AGE-accumulation will be a useful parameter in ICU patients and whether skin AF has a predictive value for outcome, which was not shown in this small study.

Changes in the volume status of haemodialysis patients are reflected in sublingual microvascular perfusion.

BACKGROUND: After the introduction of sidestream darkfield imaging (SDF) of the microcirculation, it has become clear that in sepsis, microcirculatory alterations can exist in the absence of systemic haemodynamic abnormalities. However, it is unclear whether this phenomenon also occurs in the treatment of end-stage kidney disease (ESKD) where alterations in the volume status of patients occur during dialysis. We tested the hypothesis that volume changes during dialysis directly affect the perfusion of the microcirculation in a group of adult haemodialysis patients. Secondly, we evaluated microcirculatory response to autotransfusion using the Trendelenburg position (TP). METHODS: Patients who were on chronic intermittent haemodialysis were assessed for sublingual microvascular flow by SDF imaging pre- and post-TP, performed before and after ultrafiltration (UF). Sublingual microvascular flow was estimated using a semi-quantitative microvascular flow index (MFI) in small (diameter <25 microm, which includes capillaries), medium (25-50 microm) and large-sized (50-100 microm) microvessels (no flow: 0, intermittent flow: 1, sluggish flow: 2 and continuous flow: 3). Changes were evaluated with the non-parametric paired Wilcoxon test. P < 0.05 was judged to indicate a significant difference. RESULTS: Thirty-nine adult patients took part in the study. The underlying diseases causing ESKD were predominantly hypertension (HT, n = 10), diabetes mellitus (DM, n = 7) or both (n = 3). At the start of UF, microvascular flow did not change significantly by TP. After completion of UF, MFI had decreased significantly in all types of microvessels (P < 0.001). After UF (median volume extraction 2.49l), MFI was lower than that at the start of UF and increased in most patients after TP (P < 0.001) in all categories of vessels. Changes were most prominent in the smallest microvessels. CONCLUSIONS: Sublingual microvascular perfusion is reduced by UF and can be restored temporarily using autotransfusion by TP due to increased venous return. SDF imaging is able to detect these volume changes. SDF imaging and TP could become a useful bedside tool to evaluate the patient's (microvascular) volume status and response to therapy in dialysis or intradialytic hypotension.

Health-related quality of life in critically ill patients: how to score and what is the clinical impact?

PURPOSE OF REVIEW: Traditionally, the assessment of critical care has focused largely on mortality. However, in the last few years, there is more attention on the quality of survival. Health-related quality of life (HRQOL) is an important issue for both patients and family. The purpose of this review is to describe HRQOL scoring in critically ill patients and to discuss the clinical impact on HRQOL. RECENT FINDINGS: Studies on the effect of critical illness on HRQOL show contradicting results. Several studies found that HRQOL at the time of discharge from hospital was impaired and that a gradual improvement occurred during follow-up, in some cases to preadmission hospital levels. Others show a full recovery to preadmission HRQOL. SUMMARY: In this article, we reviewed the methods and description of measurement instruments used in critically ill patients. The most recently used instruments to measure HRQOL, how to score HRQOL before ICU admission and the impact of critical illness on HRQOL are discussed. Assessment of HRQOL can improve the answers given by critical care physicians and nurses about the prospects of their patients. To get insights in these issues regarding the impact of ICU treatment, we should incorporate not only short-term outcomes, for example length of stay and mortality, but also HRQOL.

Conceptual issues specifically related to health-related quality of life in critically ill patients.

During recent years increasing attention has been given to the quality of survival in critical care. Health-related quality of life (HRQOL) is an important issue both for patients and their families. Furthermore, admission to the intensive care unit can have adverse psychological effects in critically ill patients. Recent studies conducted in critically ill patients have measured HRQOL. However, usually absent from such reports are evaluations of conceptual issues, addressing factors such as why HRQOL should be measured in critically ill patients, how to define and standardize domains of HRQOL, whether proxies can provide useful information about HRQOL in critically ill patients, whether response shift occurs in critically ill patients, and whether post-traumatic stress disorder (PTSD) occurs in critically ill patients. Some studies reported moderate agreement between patients and their proxies, although lower levels of agreement may be reported for psychosocial or physical functioning. Response shift (adaptation and change in perception) appears to be an important phenomenon and likely to be present, but it is seldom measured when estimating HRQOL in critically ill patients. Furthermore, vigilance for symptoms of PTSD and early interventions to prevent PTSD are needed.

Off hour admission to an intensivist-led ICU is not associated with increased mortality.

INTRODUCTION: Caring for the critically ill is a 24-hour-a-day responsibility, but not all resources and staff are available during off hours. We evaluated whether intensive care unit (ICU) admission during off hours affects hospital mortality. METHODS: This retrospective multicentre cohort study was carried out in three non-academic teaching hospitals in the Netherlands. All consecutive patients admitted to the three ICUs between 2004 and 2007 were included in the study, except for patients who did not fulfil APACHE II criteria (readmissions, burns, cardiac surgery, younger than 16 years, length of stay less than 8 hours). Data were collected prospectively in the ICU databases. Hospital mortality was the primary endpoint of the study. Off hours was defined as the interval between 10 pm and 8 am during weekdays and between 6 pm and 9 am during weekends. Intensivists, with no responsibilities outside the ICU, were present in the ICU during daytime and available for either consultation or assistance on site during off hours. Residents were available 24 hours a day 7 days a week in two and fellows in one of the ICUs. RESULTS: A total of 6725 patients were included in the study, 4553 (67.7%) admitted during daytime and 2172 (32.3%) admitted during off hours. Baseline characteristics of patients admitted during daytime were significantly different from those of patients admitted during off hours. Hospital mortality was 767 (16.8%) in patients admitted during daytime and 469 (21.6%) in patients admitted during off hours (P < 0.001, unadjusted odds ratio 1.36, 95%CI 1.20-1.55). Standardized mortality ratios were similar for patients admitted during off hours and patients admitted during daytime. In a logistic regression model APACHE II expected mortality, age and admission type were all significant confounders but off-hours admission was not significantly associated with a higher mortality (P = 0.121, adjusted odds ratio 1.125, 95%CI 0.969-1.306). CONCLUSIONS: The increased mortality after ICU admission during off hours is explained by a higher illness severity in patients admitted during off hours.

The practice of and documentation on withholding and withdrawing life support: a retrospective study in two Dutch intensive care units.

OBJECTIVE: We determined how often life support was withheld or withdrawn in patients who died in the intensive care unit (ICU) or early after ICU discharge and evaluated documentation on decisions regarding these changes in life support orders. METHODS: This was a retrospective study in a university hospital and a general teaching hospital. Charts of patients who died during ICU stay or within 7 days after ICU discharge in 2005 were reviewed. RESULTS: Of 2578 admitted patients, 356 patients (14%) died either in the ICU or within 7 days after ICU discharge. For 9 patients data were missing, leaving 347 patients for analysis. Seventy-seven patients (22%) died with full life support, 85 (25%) died while treatment was being withheld, and 185 (53%) patients died while treatment was being withdrawn. One or more changes in life support orders were noted in 266 patients (77%). Only 8% of the patients were recorded to be incapacitated at the time of the change. Patients' preferences regarding life support were documented in less than one-quarter of cases. In approximately one third of cases, it was not documented which member(s) of the ICU team were involved in an end-of-life decision. In the documented cases, end-of-life decisions were made along with the patient (7%) or with the patient's representatives (59%). CONCLUSION: ICU nonsurvivors and patients who die shortly after ICU discharge predominantly die with orders to withhold or withdraw life support. Documentation on the decisions to forgo full life support is poor.

Prognostic value of blood lactate levels: does the clinical diagnosis at admission matter?

BACKGROUND: Hyperlactatemia and its reduction after admission in the intensive care unit (ICU) have been related to survival. Because it is unknown whether this equally applies to different groups of critically ill patients, we compared the prognostic value of repeated lactate levels (a) in septic patients versus patients with hemorrhage or other conditions generally associated with low-oxygen transport (LT) (b) in hemodynamically stable versus unstable patients. METHODS: In this prospective observational two-center study (n = 394 patients), blood lactate levels at admission to the ICU (Lac(T0)) and the reduction of lactate levels from T = 0 to T = 12 hours (DeltaLac(T0-12)) and from T = 12 to T = 24 hours (DeltaLac(T12-24)), were related to in-hospital mortality. RESULTS: Reduction of lactate was associated with a lower mortality only in the sepsis group (DeltaLac(T0-12): hazard ratio [HR] 0.34, p = 0.004 and DeltaLac(T12-24): HR 0.24, p = 0.003), but not in the LT group (DeltaLac(T0-12); HR 0.78, p = 0.52 and DeltaLac(T12-24); HR 1.30, p = 0.61). The prognostic values of Lac(T0), DeltaLac(T0-12), and DeltaLac(T12-24) were similar in hemodynamically stable and unstable patients (p = 0.43). CONCLUSIONS: Regardless of the hemodynamic status, lactate reduction during the first 24 hours of ICU stay is associated with improved outcome only in septic patients, but not in patients with hemorrhage or other conditions generally associated with LT. We hypothesize that in this particular group a reduction in lactate is not associated with improved outcome due to irreversible damage at ICU admission.

The impact of critical illness on perceived health-related quality of life during ICU treatment, hospital stay, and after hospital discharge: a long-term follow-up study.

BACKGROUND: The time course of changes in health-related quality of life (HRQOL) following discharge from the ICU and during a general ward stay has not been studied. We therefore studied the immediate impact of critical illness on HRQOL and its recovery over time. METHODS: In a prospective study, all patients admitted to the ICU for > 48 h who ultimately survived to follow-up at 6 months were included. The Medical Outcomes Study 36-item short form was used to measure HRQOL before ICU admission, at discharge from the ICU and hospital, and at 3 and 6 months following discharge from the ICU and hospital. An age-matched healthy Dutch population was used as a reference. RESULTS: Of the 451 included patients, 252 could be evaluated at 6 months (40 were lost to follow-up, and 159 died). Pre-ICU admission HRQOL in survivors was significantly worse compared to the healthy population. Patients who died between ICU admission and long-term follow-up had significantly worse HRQOL in all dimensions already at ICU admission when compared to the long-term survivors. HRQOL decreased in all dimensions (p < 0.001) during ICU stay followed by a rapid improvement during hospital stay, gradually improving to near pre-ICU admission HRQOL at 6 months following ICU discharge. Physical functioning (PF), general health (GH), and social functioning (SF) remained significantly lower than pre-ICU admission values. Compared to the healthy Dutch population, ICU survivors had significantly lower HRQOL 6 months following ICU discharge (except for the bodily pain score). CONCLUSIONS: A sharp multidimensional decline in HRQOL occurs during ICU admission where recovery already starts following ICU discharge to the general ward. Recovery is incomplete for PF, GH, and SF when compared to baseline values and the healthy population.

The prognostic value of blood lactate levels relative to that of vital signs in the pre-hospital setting: a pilot study.

INTRODUCTION: A limitation of pre-hospital monitoring is that vital signs often do not change until a patient is in a critical stage. Blood lactate levels are suggested as a more sensitive parameter to evaluate a patient's condition. The aim of this pilot study was to find presumptive evidence for a relation between pre-hospital lactate levels and in-hospital mortality, corrected for vital sign abnormalities. METHODS: In this prospective observational study (n = 124), patients who required urgent ambulance dispatching and had a systolic blood pressure below 100 mmHg, a respiratory rate less than 10 or more than 29 breaths/minute, or a Glasgow Coma Scale (GCS) below 14 were enrolled. Nurses from Emergency Medical Services measured capillary or venous lactate levels using a hand-held device on arrival at the scene (T1) and just before or on arrival at the emergency department (T2). The primary outcome measured was in-hospital mortality. RESULTS: The average (standard deviation) time from T1 to T2 was 27 (10) minutes. Non-survivors (n = 32, 26%) had significantly higher lactate levels than survivors at T1 (5.3 vs 3.7 mmol/L) and at T2 (5.4 vs 3.2 mmol/L). Mortality was significantly higher in patients with lactate levels of 3.5 mmol/L or higher compared with those with lactate levels below 3.5 mmol/L (T1: 41 vs 12% and T2: 47 vs 15%). Also in the absence of hypotension, mortality was higher in those with higher lactate levels. In a multivariable Cox proportional hazard analysis including systolic blood pressure, heart rate, GCS (all at T1) and delta lactate level (from T1 to T2), only delta lactate level (hazard ratio (HR) = 0.20, 95% confidence interval (CI) = 0.05 to 0.76, p = 0.018) and GCS (HR = 0.93, 95% CI = 0.88 to 0.99, p = 0.022) were significant independent predictors of in-hospital mortality. CONCLUSIONS: In a cohort of patients that required urgent ambulance dispatching, pre-hospital blood lactate levels were associated with in-hospital mortality and provided prognostic information superior to that provided by the patient's vital signs. There is potential for early detection of occult shock and pre-hospital resuscitation guided by lactate measurement. However, external validation is required before widespread implementation of lactate measurement in the out-of-hospital setting.

The impact of severe sepsis on health-related quality of life: a long-term follow-up study.

BACKGROUND: Severe sepsis is frequently complicated by organ failure and accompanied by high mortality. Patients surviving severe sepsis can have impaired health-related quality of life (HRQOL). The time course of changes in HRQOL in severe sepsis survivors after discharge from the intensive care unit (ICU) and during a general ward stay have not been studied. METHODS: We performed a long-term prospective study in a medical-surgical ICU. Patients with severe sepsis (n = 170) admitted for >48 h were included in the study. We used the Short-form 36 to evaluate the HRQOL of severe sepsis patients before ICU and hospital stay and at 3 and 6 mo after ICU discharge. Furthermore, we compared the results for ICU admission and 6 mo after ICU discharge with those of an age-matched general Dutch population. RESULTS: At 6 mo after ICU discharge, 95 patients could be evaluated (eight patients were lost to follow-up, 67 died). HRQOL showed a multidimensional decline during the ICU stay and gradual improvement over the 6 mo after ICU discharge for the social functioning, vitality, role-emotional, and mental health dimensions. However, 6 mo after ICU discharge, scores for the physical functioning, role-physical, and general health dimensions were still significantly lower than preadmission values. Physical and Mental Component Scores changed significantly over time. In particular, the Mental Component Score showed a small decline at ICU discharge but recovered rapidly, and at 6 mo after ICU discharge had improved to near normal values. In addition, Short-form 36 scores were lower than those in a matched general population in six of the eight dimensions, with the exception of social functioning and bodily pain. Interestingly, the preadmission HRQOL in surviving patients was already lower in three of the eight dimensions (role-physical, mental health, and vitality) when compared with the general population. CONCLUSIONS: Severe sepsis patients demonstrate a sharp decline of HRQOL during ICU stay and a gradual improvement during the 6 mo after ICU discharge. Recovery begins after ICU discharge to the general ward. Nevertheless, recovery is incomplete in the physical functioning, role-physical, and general health dimensions at 6 mo after ICU discharge compared with preadmission status.

Encephalopathy and MRI abnormalities in fat embolism syndrome: a case report.

BACKGROUND: Fat embolization and fat embolism syndrome are poorly understood complications of skeletal trauma. Fat embolism syndrome is a clinical diagnosis, and patients typically present with a classic triad of petechial rash, pulmonary distress, and neurologic dysfunction. The incomplete form of the syndrome (i.e., cerebral fat embolism) is a more challenging clinical diagnosis in which brain magnetic resonance imaging may be a valuable tool. Fat embolism syndrome can be a life-threatening condition, but the latent form that occurs 24 to 72 hours after the trauma is frequently described as a self-limiting condition. CASE REPORT: In this report, we present the case of a 32-year-old man with fat embolism syndrome and a prolonged coma with persistent cerebral dysfunction. Brain magnetic resonance imaging revealed multiple white and grey matter lesions suggestive of vasogenic edema and punctuate hemorrhage, consistent with a diagnosis of cerebral fat emboli. CONCLUSIONS: The pathogenesis and treatment options of fat embolism syndrome are reviewed based on available literature, and the usefulness of brain magnetic resonance imaging is discussed.

Experiences of critically ill patients in the ICU.

BACKGROUND: Experiences of critically ill patients are an important aspect of the quality of care in the intensive care (ICU). OBJECTIVE: The aims of the study were firstly, to evaluate the perceptions of patients regarding nursing care in the ICU, and secondly, to explore patients' perceptions and experiences of ICU stay. METHOD: A qualitative approach using a semi-structured focused interview in 11 patients was used (phase 1), followed by a quantitative approach using a self-reported questionnaire in 100 patients, 62 were returned and 50 could be evaluated (phase 2). RESULTS: A number of themes emerged from the interviews (phase 1), although support dominated as an important key theme. This was experienced as a continuum from the feeling being supported by the nurse to not being supported. This key theme was central to each of the three categories emerging from the data pertaining to: (1) providing the seriously ill patient with information and explanation, (2) placing the patient in a central position and (3) personal approach by the nurse. The responders to the subsequent questionnaire (phase 2) predominantly experienced sleeping disorders (48%), mostly related to the presence of noise (54%). Psychological problems after ICU stay were reported by 11% of the patients, i.e. fear, inability to concentrate, complaints of depression and hallucinations. CONCLUSIONS: Although the nurses' expertise and technical skills are considered important, caring behaviour, relieving the patient of fear and worries were experienced as most valuable in bedside critical care.

Low value of routine chest radiographs in a mixed medical-surgical ICU.

OBJECTIVE: To determine the diagnostic efficacy (DE) and therapeutic efficacy (TE) of daily routine chest radiographs (CXRs), and to establish the impact of abandoning this CXR from daily practice on total CXR volume, ICU length of stay (LOS), readmission rate, and ICU mortality. DESIGN: Prospective controlled study in two parts. The first part comprised a 1-year period during which attending physicians were blinded for findings on daily routine CXRs and were only informed if something deemed important was seen by the radiologist (predefined major abnormalities) who reviewed all CXRs as usual. The second part comprised a half-year period during which daily routine CXRs were replaced by clinically indicated CXR. SETTING: Mixed medical-surgical ICU of a teaching hospital. RESULTS: Data on 1,780 daily routine CXRs in 559 hospital admissions were collected. DE of daily routine CXRs was 4.4%. The most frequent unexpected major abnormalities were new or progressive infiltrates (1.8%) and oropharyngeal tube malposition (0.7%). TE of daily routine CXRs was 1.9%. The most frequent intervention was oropharyngeal tube adjustment (0.6%). No relation was found for DE or TE and hospital admission type or intubation and mechanical ventilation. In the second study part, 433 CXRs were obtained in 274 admissions. Abandoning daily routine CXRs did not affect clinically indicated CXRs orders, or ICU LOS, readmission rate, and mortality. A total CXR volume reduction of 35% (which equaled 9,900 per bed per year [US dollars]) was observed after abandoning daily routine CXRs. CONCLUSION: Diagnostic and therapeutic value of the daily routine CXR is low. Daily routine CXRs can be safely abandoned in the ICU.

ICU survivors show no decline in health-related quality of life after 5 years.

PURPOSE: Severe critical illness requiring treatment in the intensive care unit (ICU) may have a serious impact on patients and their families. However, optimal follow-up periods are not defined and data on health-related quality of life (HRQOL) before ICU admission as well as those beyond 2 years follow-up are limited. The aim of our study was to assess the impact of ICU stay up to 5 years after ICU discharge. METHODS: We performed a long-term prospective cohort study in patients admitted for longer than 48 h in a medical-surgical ICU. The Short-Form 36 was used to evaluate HRQOL before admission (by proxy within 48 h after admission of the patient), at ICU discharge, and at 1, 2, and 5 years following ICU discharge (all by patients). Changes in HRQOL were assessed using linear mixed modeling. RESULTS: We included a total of 749 patients (from 2000 to 2007). At 5 years after ICU discharge 234 patients could be evaluated. After correction for natural decline in HRQOL, the mean scores of four dimensions-physical functioning (p < 0.001), role-physical (p < 0.001), general health (p < 0.001), and social functioning (p = 0.003)-were still significantly lower 5 years after ICU discharge compared with their pre-admission levels, although effect sizes were small (<0.5). CONCLUSIONS: After correction for natural decline, the effect sizes of decreases in HRQOL were small, suggesting that patients regain their age-specific HRQOL 5 years after their ICU stay.

[The life of ICU-survivors]. / Het leven van een Intensive-Care-overlever.

Many ICU survivors experience physical, cognitive and mental complications of critical care. This phenomenon has recently been defined as post-intensive care syndrome (PICS). We present 2 patients who survived treatment in an ICU. One of these patients, a 71-year-old male, had pneumosepsis and multiple organ failure. He was treated for 10 days in the ICU. He made a full recovery after 3 months of rehabilitation. The second patient, a 61-year-old male, developed multiple organ failure as complication of acute necrotizing pancreatitis. He was treated for 55 days in the ICU. He ultimately survived, but later developed a post-intensive care syndrome that had a long-lasting impact on his quality of life. Early rehabilitation and the limited use of sedatives might mitigate the severity of this syndrome.

Cumulative lactate and hospital mortality in ICU patients.

BACKGROUND: Both hyperlactatemia and persistence of hyperlactatemia have been associated with bad outcome. We compared lactate and lactate-derived variables in outcome prediction. METHODS: Retrospective observational study. Case records from 2,251 consecutive intensive care unit (ICU) patients admitted between 2001 and 2007 were analyzed. Baseline characteristics, all lactate measurements, and in-hospital mortality were recorded. The time integral of arterial blood lactate levels above the upper normal threshold of 2.2 mmol/L (lactate-time-integral), maximum lactate (max-lactate), and time-to-first-normalization were calculated. Survivors and nonsurvivors were compared and receiver operating characteristic (ROC) analysis were applied. RESULTS: A total of 20,755 lactate measurements were analyzed. Data are srpehown as median [interquartile range]. In nonsurvivors (n = 405) lactate-time-integral (192 [0-1881] min·mmol/L) and time-to-first normalization (44.0 [0-427] min) were higher than in hospital survivors (n = 1846; 0 [0-134] min·mmol/L and 0 [0-75] min, respectively; all p < 0.001). Normalization of lactate <6 hours after ICU admission revealed better survival compared with normalization of lactate >6 hours (mortality 16.6% vs. 24.4%; p < 0.001). AUC of ROC curves to predict in-hospital mortality was the largest for max-lactate, whereas it was not different among all other lactate derived variables (all p > 0.05). The area under the ROC curves for admission lactate and lactate-time-integral was not different (p = 0.36). CONCLUSIONS: Hyperlactatemia is associated with in-hospital mortality in a heterogeneous ICU population. In our patients, lactate peak values predicted in-hospital mortality equally well as lactate-time-integral of arterial blood lactate levels above the upper normal threshold.